JPMorgan Marketing Delivery Assoc Sr - Campaign Testing 

United States, Delaware, Wilmington 

613704579

As a Software Engineer III - AI ML within Corporate and Investment Banking Markets technology, you will have the opportunity to advance your software engineering career by developing innovative solutions that leverage generative AI for code modernization and Software Development Life Cycle process improvement. You will collaborate closely with engineers, provide technical guidance, and contribute to a culture of diversity, inclusion, and respect.

Job Responsibilities

• Provides technical guidance on generative AI solutions to support business teams and technical partners.
• Develops robust, high-quality production code for generative AI applications supporting developer productivity gains.
• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required Qualifications, Capabilities and Skills

• Experience in AI development, with specific focus on generative AI and large language models
• Hands-on practical experience in system design, application development, testing, and operational stability
• Proficient in coding in one or more languages: Python, Typescript & Java.
• Good Knowledge and actively keeping up to date in the filed of Generative AI, Large Language Models and responsible AI implementation.
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)